问题转换 meaning in English
problem shift
Examples
- Moreover , this theory can change the problem in non - linearity space to that in the linearity space in order to reduce the algorithm complexity by using the kernel function idea . svm have become the hotspot of machine learning because of their excellent learning performance
由于采用了结构风险最小化原则代替经验风险最小化原则，使得较好的解决了小样本学习的问题；又由于采用了核函数思想，使它把非线性空间的问题转换到线性空间，降低了算法的复杂度。 - An algorithm to resolve the coupling effect problem is proposed during the cross point assignment ( cpa ) stage . in the algorithm , the priority queue concept and the rip - up and reroute strategy are combined to control crosstalk noise caused by interconnect coupling capacitance . first , the nets are arranged into different priority queues according to their weighted sum of their length and criticality . then , the cpa problem for one queue of nets is translated into a linear assignment problem . after the assignment of one queue of nets , a post - cpa checking routine is performed to check and rip up the net pairs which violate the crosstalk noise constraint and then push them into the next queue to be reassigned . the algorithm is tested by a set of bench mark examples , and the experimental results are promising
提出了一种在过点分配阶段解决噪声耦合效应问题的算法.该算法采用优先队列同拆线重布策略相结合的方法,控制由互连线耦合电容引起的串扰噪声.算法中,首先按照线长和约束限制,将线网划分到若干个优先队列中.然后,将每个优先队列的过点分配问题转换为线性分配问题.在完成一个线网队列的分配后,通过过点分配后处理过程检查串扰约束满足情况,对违反约束的线网对进行拆除,放入后续线网队列进行重新分配.实验数据表明,该算法能够取得好的效果 - During the topology optimization of the load pan , the combination of the homogenization and artificial density method is adopted , and the concept of density subjection function and relative density is introduced , consequently , the traditional topology optimization issue is transformed to the optimum distribution of materials
在对负载盘进行拓扑优化设计的过程中,本文采用了均匀化法和变密度法相结合的方法,引入了密度隶属函数和相对密度的概念,从而将传统意义上的拓扑优化问题转换为材料的最优分布问题。 - They are agricultural productive materials price growth rate , sown area of grain crops growth rate , grain yield per area growth rate - , natural disaster covered grain areas growth rate , net grain import change rate , grain reserve change rate , population growth rate , per income growth rate , city and town population growth rate , food industry production value growth rate , year - end pig number growth rate , medical & pharmaceutical and textile industry production value growth rate , grain marketization degree , inflation rate using the previous year as base year ( preceding year = 100 ) , public grain purchases price growth rate , investment in agricultural science and technology growth rate , investment in agricultural infrastructure growth rate , growth rate of graduates number from agriculture , forestry , science & technology universities and colleges and specialized secondary schools , government expenditure for agriculture and agricultural credit growth rate , international grain price growth rate , rmb exchange rate growth rate , last grain price growth rate , economic crop price growth rate , , meanwhile , a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world
在此基础上，筛选出23个警兆指标：农用生产资料价格增长率、粮食播种面积增长率、粮食单产增长率、粮食受灾面积增长率、粮食净进口量变化率、粮食储备变动率、人口增长率、人均收入增长率、城镇人口增长率、食品工业产值增长率、猪年末头数增长率、医药纺织工业产值增长率、粮食市场化程度、以上年为基年的通货膨胀率、国家粮食定购价格增长率、农业科技投入增长率、农业基础设施投入增长率、农、林、科技高校大、中专毕业生人数增长率、财政支农资金比重及农业信贷增长率、国际粮食市场价格增长率、人民币汇率增长率、上期粮食价格增长率、经济作物价格增长率。同时论文在预警方法上作了新的尝试，把粮食价格预警问题转换成一个机器学习问题，引进当前国际上机器学习领域中比较热门的统计学习理论和支持向量机方法，用顺序回归算法对历史数据进行学习建立了粮食价格预警模型。 - At first , we present fault - tolerant mobile agent execution as a sequence of agreement problems ; then , we design a div consensus algorithm in order to solve the agreement problems ; at the same time , we give a pipelined mode for reliably forwarding the agent between stage s and si + i
其中，我们首先将移动agent的容错执行问题转换为一系列的协议协商问题；然后在consensus算法的基础之上通过改进给出了divconsensus算法用以实现移动agent之间的协商策略从而最终保证移动agent执行的只一次属性；同时我们还提出了一种用于实现移动agent在不同阶段之间高效可靠传输的通道模式。